Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15583C53182C5B43740B682CDE26D770CA7C6464EE7468F8067FA427BAF95DB07D2168E |
|
CONTENT
ssdeep
|
768:MczRObem/6ioPjIr5YD2SW/hxwIBioEyynbYe0Pd5uHy0fjQdAalDf:McMbeTjGYtW//w4iolynb30PHa2Df |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8dbad457aaf0118 |
|
VISUAL
aHash
|
fffecd8c0000ffff |
|
VISUAL
dHash
|
2b909109b8e02e32 |
|
VISUAL
wHash
|
fffc48800000f7ff |
|
VISUAL
colorHash
|
060010100c0 |
|
VISUAL
cropResistant
|
2b909109b8e02e32,c7049484a039599a,d0e270b8dc4e67b1 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 53 techniques to evade detection by security scanners and make reverse engineering more difficult.